In: Statistics and Probability
It might be predicted that consumer buying behavior would vary
with the location of products in a store. Therefore, a team of
market researchers looked at the sales per day for a known and
unknown brand of candy bars. Additionally, the researchers placed
the candy bars in the usual location and next to the cash register
in different stores. What can the market researchers conclude with
α = 0.01?
known brand | unknown brand | ||
usual | register | usual | register |
16 24 19 17 26 30 18 |
25 15 16 18 31 27 19 |
11 6 9 13 14 7 11 |
19 18 16 21 22 17 19 |
a) What is the appropriate test statistic?
---Select--- na one-way ANOVA within-subjects ANOVA two-way
ANOVA
b) Obtain/compute the appropriate values to make a
decision about H0.
Location: critical value = ; test
statistic =
Decision: ---Select--- Reject H0 Fail to reject H0
Brand: critical value = ; test
statistic =
Decision: ---Select--- Reject H0 Fail to reject H0
Interaction: critical value = ; test
statistic =
Decision: ---Select--- Reject H0 Fail to reject H0
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
Location: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Brand: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Interaction: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
d) Make an interpretation based on the
results.
There is a location difference on candy bar sales.There is no location difference on candy bar sales.
There is a brand difference on candy bar sales.There is no brand difference on candy bar sales.
There is a location by brand interaction on candy bar sales.There is no location by brand interaction on candy bar sales.
Anova: Two-Factor With Replication | ||||||
SUMMARY | usual | register | Total | |||
Known brand | ||||||
Count | 7 | 7 | 14 | |||
Sum | 150 | 151 | 301 | |||
Average | 21.42857 | 21.57143 | 21.5 | |||
Variance | 27.95238 | 37.28571 | 30.11538 | |||
Unknown brand | ||||||
Count | 7 | 7 | 14 | |||
Sum | 71 | 132 | 203 | |||
Average | 10.14286 | 18.85714 | 14.5 | |||
Variance | 8.809524 | 4.47619 | 26.57692 | |||
Total | ||||||
Count | 14 | 14 | ||||
Sum | 221 | 283 | ||||
Average | 15.78571 | 20.21429 | ||||
Variance | 51.25824 | 21.25824 | ||||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Sample | 343 | 1 | 343 | 17.47241 | 0.000334 | 7.822871 |
Columns | 137.2857 | 1 | 137.2857 | 6.993329 | 0.014197 | 7.822871 |
Interaction | 128.5714 | 1 | 128.5714 | 6.549424 | 0.017218 | 7.822871 |
Within | 471.1429 | 24 | 19.63095 | |||
Total | 1080 | 27 |
a) Test statistic used: two-way ANOVA
b)
Location:
critical value = 7.823
test statistic = 6.993
Decision: Fail to reject H0
Brand:
critical value = 7.823
test statistic = 17.472
Decision: Reject H0
Interaction:
critical value = 7.823
test statistic = 6.549
Decision: Fail to reject H0
c)
Location:
η²B = SSB /(SST - SSA - SSAxB) = 137.2857/(1080 - 343 - 128.5714) = 0.2256
small effect
Brand:
η2A = SSA /(SST - SSB - SSAxB) = 343/(1080 - 137.2857 - 128.5714) = 0.4213
medium effect
Interaction:
η²AxB = SSAxB /(SST - SSA - SSB) = 128.5714/(1080 - 343 - 137.2857) = 0.2144
small
effect
d) Make an interpretation based on the
results.
There is no location difference on candy bar sales.
There is a brand difference on candy bar sales.
There is no location by brand interaction on candy bar sales.